This study aimed to investigate the usefulness of a thyroid imaging reporting and data system (TIRADS) to select thyroid nodules with atypia of undetermined significance/follicular lesion of undetermined significance (AUS/FLUS) cytology for additional BRAFV600E mutation testing. Three hundred three thyroid nodules were included. Statistical analysis was performed at both patient and nodule levels according to BRAFV600E mutation positivity and clinical factors. Univariate and multivariate logistic regression analyses were performed to assess independent associations between BRAFV600E mutation positivity and clinical factors. Of 303 AUS/FLUS nodules, 16 (5.3%) of 303 nodules had the BRAFV600E mutation. The frequency of the BRAFV600E mutation according to the TIRADS was 35.7% for category 5, 10.8% for category 4c, 2.5% for category 4b, 1.1% for category 4a, and 0% for category 3 nodules (P < 0.001). On multivariate analysis, BRAFV600E mutation positivity was significantly associated with high suspicion on the TIRADS (odds ratio, 15.247; P < 0.001). In conclusion, the ultrasonography patterns of the TIRADS can be used as a clinical parameter for deciding the BRAFV600E mutation test in thyroid nodules with AUS/FLUS cytology.
|Number of pages||5|
|Publication status||Published - 2017 Dec 1|
Bibliographical noteFunding Information:
Received for publication March 28, 2017; accepted July 4, 2017. Department of Radiology, Yonsei University College of Medicine, Research In-stitute of Radiological Science, Severance Hospital, Seoul, Korea. The authors declare no conflict of interest. This study was supported by a faculty research grant of Yonsei University Col-lege of Medicine for (6-2015-0049). Address correspondence to: Jin Young Kwak, MD, PhD, Department of Radiol-ogy, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 03722 Seoul, Korea (e‐mail: firstname.lastname@example.org). Copyright © 2017 Wolters Kluwer Health, Inc. All rights reserved. DOI: 10.1097/RUQ.0000000000000313
Copyright © 2017 Wolters Kluwer Health, Inc. All rights reserved.
All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging